Triple
T30780191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Spy in Black (1939 film) |
E783786
|
entity |
| Predicate | alsoKnownAsInUnitedStates |
P14444
|
FINISHED |
| Object | U-Boat 29 |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: U-Boat 29 | Statement: [The Spy in Black (1939 film), alsoKnownAsInUnitedStates, U-Boat 29]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alsoKnownAsInUnitedStates Context triple: [The Spy in Black (1939 film), alsoKnownAsInUnitedStates, U-Boat 29]
-
A.
alsoKnownAs
Indicates that one entity is an alternative name, alias, or designation for another entity.
-
B.
knownAsInCanada
Indicates that an entity is referred to or recognized by a particular name specifically within the context of Canada.
-
C.
knownAsBy
Indicates that one entity is referred to or recognized by another entity using a particular name or designation.
-
D.
regionallyKnownAs
chosen
Indicates that an entity is known by a particular name or designation within a specific geographic region.
-
E.
isWidelyKnownAs
Indicates that an entity is commonly referred to or recognized by a particular name or label by a broad audience.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f224b213c8819083886073f90b647e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f68fe42e448190842c62524baf9abc |
completed | May 2, 2026, 11:59 p.m. |
| PD | Predicate disambiguation | batch_69f686140aa08190a35f62572b2db9b6 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:41 p.m.